Ming-You Xie
Papers
1
Total Citations
23
H-Index
1
About
Ming-You Xie is a leading researcher in computer vision and robotics, with a primary focus on visual servoing systems and RGB-D image processing. His most cited work, "RGB-D Image Processing Algorithm for Target Recognition and Pose Estimation of Visual Servo System" (2020, 23 citations), makes a pivotal contribution by enhancing the control performance of visual servoing through rapid target identification and precise depth measurement. This research bridges the gap between planar and RGB-D camera systems, enabling more robust and accurate robotic manipulation in dynamic environments. Xie’s work is particularly impactful for autonomous systems requiring real-time object recognition and pose estimation, such as industrial automation and service robotics. By integrating depth information with visual feedback, his algorithms improve the reliability of vision-guided robots, a critical step toward fully autonomous operation. With growing citation influence, Xie continues to advance the intersection of 3D perception and robotic control, positioning himself as a key innovator in intelligent visual systems.
Research Focus
Key Achievements
Top Papers
- 1